2011 IEEE 13th International Workshop on Multimedia Signal Processing最新文献

Automatic ridge network detection in crumpled paper based on graph density 基于图密度的皱纸脊网自动检测

2011 IEEE 13th International Workshop on Multimedia Signal Processing Pub Date : 2011-12-01 DOI: 10.1109/MMSP.2011.6093840

Marvin Huang, Chiou-Ting Hsu, Kazuyuki Tanaka

引用次数: 1

Compression of navigable speech soundfield zones 可导航语音声场区域的压缩

2011 IEEE 13th International Workshop on Multimedia Signal Processing Pub Date : 2011-12-01 DOI: 10.1109/MMSP.2011.6093795

Xiguang Zheng, C. Ritz

引用次数: 1

Optimal resource allocation for multimedia cloud based on queuing model 基于排队模型的多媒体云资源优化分配

2011 IEEE 13th International Workshop on Multimedia Signal Processing Pub Date : 2011-12-01 DOI: 10.1109/MMSP.2011.6093813

Xiaoming Nan, Yifeng He, L. Guan

引用次数: 114

Desynchronization resilient video fingerprinting via randomized, low-rank tensor approximations 去同步弹性视频指纹通过随机，低秩张量近似

2011 IEEE 13th International Workshop on Multimedia Signal Processing Pub Date : 2011-12-01 DOI: 10.1109/MMSP.2011.6093778

Mu Li, V. Monga

{"title":"Desynchronization resilient video fingerprinting via randomized, low-rank tensor approximations","authors":"Mu Li, V. Monga","doi":"10.1109/MMSP.2011.6093778","DOIUrl":"https://doi.org/10.1109/MMSP.2011.6093778","url":null,"abstract":"The problem of summarizing videos by short fingerprints or hashes has garnered significant attention recently. While traditional applications of video hashing lie in database search and content authentication, the emergence of websites such as YouTube and DailyMotion poses a challenging problem of anti-piracy video search. That is, hashes or fingerprints of an original video (provided to YouTube by the content owner) must be matched against those uploaded to YouTube by users to identify instances of “illegal” or undesirable uploads. Because the uploaded videos invariably differ from the original in their digital representation (owing to incidental or malicious distortions), robust video hashes are desired. In this paper, we model videos as order-3 tensors and use multilinear subspace projections, such as a reduced rank parallel factor analysis (PARAFAC) to construct video hashes. We observe that unlike most standard descriptors of video content, tensor based subspace projections can offer excellent robustness while effectively capturing the spatio-temporal essence of the video for discriminability. We further randomize the construction of the hash by dividing the video into randomly selected overlapping sub-cubes to prevent against intentional guessing and forgery. The most significant gains are seen for the difficult attacks of spatial (e.g. geometric) as well as temporal (random frame dropping) desynchronization. Experimental validation is provided in the form of ROC curves and we further perform detection-theoretic analysis which closely mimics empirically observed probability of error.","PeriodicalId":214459,"journal":{"name":"2011 IEEE 13th International Workshop on Multimedia Signal Processing","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121434638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

End-to-end distortion optimized error control for real-time wireless video streaming 实时无线视频流端到端失真优化误差控制

2011 IEEE 13th International Workshop on Multimedia Signal Processing Pub Date : 2011-12-01 DOI: 10.1109/MMSP.2011.6093820

Guangchao Peng, Yanwei Liu, Yahui Hu, S. Ci, Hui Tang

{"title":"End-to-end distortion optimized error control for real-time wireless video streaming","authors":"Guangchao Peng, Yanwei Liu, Yahui Hu, S. Ci, Hui Tang","doi":"10.1109/MMSP.2011.6093820","DOIUrl":"https://doi.org/10.1109/MMSP.2011.6093820","url":null,"abstract":"In wireless video streaming, the packet loss often occurs and affects the end-user visual quality. To alleviate the transmission error effects, intra refresh coding is usually used to improve the streaming error resilience ability from the view of source coding. At the physical layer, the adaptive modulation and coding (AMC) is also used to promote the transmission reliability at the transporting level. Both the error control components have their own influences on the received video quality. To achieve the best video transmission performance, it is crucial to make an error control tradeoff between intra refresh coding and AMC. In this paper, we propose an end-to-end video distortion optimized cross-layer error control method which jointly considers the video quantization parameter (QP) and intra refresh rate at the application layer, and AMC at the physical layer for delay-constraint real-time video streaming. The experimental results show that the proposed cross-layer error control streaming method can achieve the superior objective and subjective performances to the layer-independent error control streaming methods with and without cross-layer optimization.","PeriodicalId":214459,"journal":{"name":"2011 IEEE 13th International Workshop on Multimedia Signal Processing","volume":"374 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115969215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Low latency live video streaming using HTTP chunked encoding 使用HTTP分块编码的低延迟实时视频流

2011 IEEE 13th International Workshop on Multimedia Signal Processing Pub Date : 2011-12-01 DOI: 10.1109/MMSP.2011.6093825

Viswanathan Swaminathan, Sheng Wei

引用次数: 50

SKRWM based descriptor for pedestrian detection in thermal images 基于SKRWM的热图像行人检测描述符

2011 IEEE 13th International Workshop on Multimedia Signal Processing Pub Date : 2011-12-01 DOI: 10.1109/MMSP.2011.6093800

Zelin Li, Qiang Wu, Jian Zhang, G. Geers

{"title":"SKRWM based descriptor for pedestrian detection in thermal images","authors":"Zelin Li, Qiang Wu, Jian Zhang, G. Geers","doi":"10.1109/MMSP.2011.6093800","DOIUrl":"https://doi.org/10.1109/MMSP.2011.6093800","url":null,"abstract":"Pedestrian detection in a thermal image is a difficult task due to intrinsic challenges:1) low image resolution, 2) thermal noising, 3) polarity changes, 4) lack of color, texture or depth information. To address these challenges, we propose a novel mid-level feature descriptor for pedestrian detection in thermal domain, which combines pixel-level Steering Kernel Regression Weights Matrix (SKRWM) with their corresponding covariances. SKRWM can properly capture the local structure of pixels, while the covariance computation can further provide the correlation of low level feature. This mid-level feature descriptor not only captures the pixel-level data difference and spatial differences of local structure, but also explores the correlations among low-level features. In the case of human detection, the proposed mid-level feature descriptor can discriminatively distinguish pedestrian from complexity. For testing the performance of proposed feature descriptor, a popular classifier framework based on Principal Component Analysis (PCA) and Support Vector Machine (SVM) is also built. Overall, our experimental results show that proposed approach has overcome the problems caused by background subtraction in [1] while attains comparable detection accuracy compared to the state-of-the-arts.","PeriodicalId":214459,"journal":{"name":"2011 IEEE 13th International Workshop on Multimedia Signal Processing","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114896930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

An error resilient multiple description video coder 一种抗错误多描述视频编码器

2011 IEEE 13th International Workshop on Multimedia Signal Processing Pub Date : 2011-12-01 DOI: 10.1109/MMSP.2011.6093819

Yi-Jen Huang, Hsu-Feng Hsiao

引用次数: 0

Motion vector coding techniques for HEVC HEVC的运动矢量编码技术

2011 IEEE 13th International Workshop on Multimedia Signal Processing Pub Date : 2011-12-01 DOI: 10.1109/MMSP.2011.6093817

Jian-Liang Lin, Yi-Wen Chen, Yu-Pao Tsai, Yu-Wen Huang, S. Lei

引用次数: 31

Example-based image contrast enhancement 基于示例的图像对比度增强

2011 IEEE 13th International Workshop on Multimedia Signal Processing Pub Date : 2011-12-01 DOI: 10.1109/MMSP.2011.6093777

Zhiyuan Zhou, Xiaokang Yang, Li Chen, Guangtao Zhai, Wenjun Zhang

引用次数: 1